Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance

2020 ◽  
pp. 1-10
Author(s):  
Bo Sun ◽  
Yuting Cao ◽  
Zhenyuan Guo ◽  
Zheng Yan ◽  
Shiping Wen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Sliding Mode ◽  
Memristive Neural Networks ◽  
Leakage Delays ◽  
And Control ◽  
Mode Stabilization

Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control

2020 ◽  
Vol 126 ◽  
pp. 163-169
Author(s):  
Bo Sun ◽  
Shengbo Wang ◽  
Yuting Cao ◽  
Zhenyuan Guo ◽  
Tingwen Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Exponential Synchronization ◽  
Time Varying ◽  
Memristive Neural Networks ◽  
Mode Control

scholarly journals Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Chong Chen ◽  
Zhixia Ding
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Sliding Mode ◽  
Direct Method ◽  
Projective Synchronization ◽  
Sliding Mode Controller ◽  
Memristive Neural Networks ◽  
Lyapunov Direct Method ◽  
Sliding Motion ◽  
Fractional Order Integral

This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of sliding motion. Furthermore, according to fractional-order differential inequalities and fractional-order Lyapunov direct method, the trajectories of the system converge to the sliding mode surface to carry out sliding mode motion, and some sufficient criteria are obtained to achieve global projective synchronization of NFMNN. In addition, the conclusions extend and improve some previous works on the synchronization of fractional-order memristive neural networks (FMNN). Finally, a simulation example is given to verify the effectiveness and correctness of the obtained results.

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